Bibliography Report

Introduction

This report assesses the IAS Bibliography in regards to different measures and shows some information of the content. It does not assess the content of the sources but rather the bibliometric data.

Bibliographic analysis

In most cases, the bibliographic analysis is done on the OpenAlex library. In some cases, we can also do it using the Zenodo data. This is mentioned in the beginning of each subsection

Publication types

Analysis: Zenodo and OpenAlex

OpenAlex and Zotero use different tyoes. These are not directly compable, which is whu=y both are shown.

Show the code

bib_data$figure_types_data |>
  dplyr::arrange(
    from,
    desc(count)
  ) |>
  knitr::kable(
    caption = "Types of documents from the Zotero bibliography as well as from OpenApex."
  )

Types of documents from the Zotero bibliography as well as from OpenApex.
type	count	from
article	3423	OpenAlex
review	119	OpenAlex
preprint	13	OpenAlex
dataset	10	OpenAlex
book-chapter	6	OpenAlex
book	2	OpenAlex
other	2	OpenAlex
journalArticle	4157	Zotero
bookSection	305	Zotero
book	244	Zotero
report	236	Zotero
webpage	97	Zotero
conferencePaper	83	Zotero
document	67	Zotero
annotation	19	Zotero
thesis	15	Zotero
dataset	12	Zotero
blogPost	9	Zotero
preprint	2	Zotero
magazineArticle	1	Zotero
newspaperArticle	1	Zotero
presentation	1	Zotero
videoRecording	1	Zotero

Show the code

bib_data$figure_types

Zenodo versus OpenAlex Types

Analysis: Zenodo and OpenAlex

The types entered in the Zenodo library and the types as retrieved from OpenAlex are not linked, therefore they can differ. This can indicate faulty data entering in Zenodo but not necessarily has to. These cases need to be carefully evaluated and here only given as a starting point.

NA in OpenAlex is likely caused by the doi not found in OpenAlex (not in there, not valid, non-standard DOI in Zenodo). NA in Zotero is linked to non-standard DOI entries (i.e. with http) which can therefore not be linked to OpenAlex data. If all DOIs are in standard format, there should be no NAs in this Table in the column Ferom Zenodo.

TODO: Improvements should be done after feedback.

Show the code

bib_data$metrics$types$comparison |>
  knitr::kable(
    col.names = c("Type from Zenodo", "Type from [OpenAlex](https://OpenAlex.org){target='_blank'}", "count"),
    caption = "Table giving the combination of types from Zenodo as well as [OpenAlex](https://OpenAlex.org){target='_blank'} and their frequency"
  )

Table giving the combination of types from Zenodo as well as OpenAlex and their frequency
Type from Zenodo	Type from OpenAlex	count
journalArticle	article	3081
journalArticle	NA	952
NA	article	339
bookSection	NA	305
book	NA	244
report	NA	236
journalArticle	review	111
webpage	NA	97
conferencePaper	NA	74
document	NA	67
annotation	NA	19
thesis	NA	15
dataset	NA	12
blogPost	NA	9
journalArticle	preprint	8
NA	dataset	8
NA	review	8
conferencePaper	article	5
conferencePaper	book-chapter	3
preprint	preprint	2
journalArticle	dataset	2
journalArticle	other	2
journalArticle	book	2
NA	book-chapter	2
NA	preprint	2
presentation	NA	1
videoRecording	NA	1
journalArticle	book-chapter	1
magazineArticle	NA	1
conferencePaper	preprint	1
newspaperArticle	NA	1

Year of Publication

Analysis: Zenodo and OpenAlex

The following ranges of publication years can be found in the data.

Show the code

bib_data$figure_pub_year_data |>
  dplyr::summarize(
    min = min(publication_year, na.rm = TRUE),
    max = max(publication_year, na.rm = TRUE),
    .by = c(from)
  ) |>
  knitr::kable()

from	min	max
Zenodo	1839	2023
OpenAlex	1966	2023

Show the code

bib_data$figure_pub_year

Warning: Removed 1 row containing missing values or values outside the scale range
(`geom_col()`).

Access Status of References

Analysis: OpenAlex

Show the code

bib_data$figure_oa_status

50 Most often cited Journals

Analysis: Zenodo

TODO: OpenAlex should be added

Show the code

bib_data$figure_top_journals

This table contains all Journals as specified in the Zotero database.

Show the code

bib_data$figure_top_journals_data |>
  IPBES.R::table_dt("cited_journals")

Coutries of Institutes of all authors

Analysis: OpenAlex

In this section we will take a closer look at the countries from which ih the authors ot the publication come. THe data includes all authoirs without weighting.

Show the code

#|
#| fig-height: 10
#| fig-width: 10

bib_data$figure_top_country_map

This plot only contains the countries with more than 10 references.

Show the code

#|
#| fig-height: 10
#| fig-width: 10

bib_data$figure_top_country

This table contains all countries and the number of authorship.

Show the code

bib_data$figure_top_country_data |>
  IPBES.R::table_dt("top_countries")

Cleanliness of the Bibliography

Cleanliness of a bibliography is defined here as the quality of the bibliografic data in the bibliography. It does not concern any topical measures, only measures related to the bibliografic data in the bibliography.

The analysis is at the moment only done for DOIs as corresponding measures are not available at the moment for ISBNs and ISSNs and duplicate ISBNs and ISSNs can be rcorrect as different chapters of a book might be in the bibliography.

Entries with DOIs, ISBNs or ISSNs in Zotero

To identify a reference, the most widely used identifier is the DOI. The following table shows the number of references with a DOI and the number of unique DOIs.

To consider duplicate ISBNs or ISSNs as duplicates entries in the library is not waranted as e.g. differenc chapters of a book can be separate entries in the library and therefore lead to duplicates.

DOIs: 3863 (73.58%) - 4 duplicates
ISBNss: 453 (8.63%)
ISBNss: 3301 (62.88%)

DOIs in Zotero

The following sections provide some more detailed analysis of the bibliography in Zenodo. The tables all contain clickable links which, shwen clicked, show the respective article in the Zotero bibliograpohy.

Duplicates

The following DOIs are duplicates in the bibliography. This table should be empty.

Show the code

if (length(bib_data$metrics$zotero_dois$duplicate) > 0) {
  data.frame(
    doi = bib_data$metrics$zotero_dois$duplicate,
    link = paste0(bib_data$bibliography$url, "/items/", names(bib_data$metrics$zotero_dois$duplicate))
  ) |>
    dplyr::mutate(
      sort = doi,
      doi = paste0('<a href="', link, '" target="_blank">', doi, "</a>"),
    ) |>
    dplyr::arrange(
      sort
    ) |>
    dplyr::mutate(
      sort = NULL
    ) |>
    knitr::kable(
      caption = "DOIs in Zenodo which are duplicated",
      escape = FALSE
    )
}

DOIs in Zenodo which are duplicated
	doi	link
DNQGDYCT	10.1111/emr.12464	https://www.zotero.org/groups/2352922/items/DNQGDYCT
BKJZTSZS	10.1111/emr.12464	https://www.zotero.org/groups/2352922/items/BKJZTSZS
ERCRVI2L	10.1111/mam.12277	https://www.zotero.org/groups/2352922/items/ERCRVI2L
BW28LAD5	10.1111/mam.12277	https://www.zotero.org/groups/2352922/items/BW28LAD5

Non Standard

All DOIs should be given as only the DOI without the resolver, i.e. not starting with http. The following table shows all entries which do have a non-conform DOI:

Show the code

#|

http <- grep("http", bib_data$metrics$zotero_dois$id_raw)
data.frame(
  doi = bib_data$metrics$zotero_dois$id_raw[http],
  link = paste0(bib_data$bibliography$url, "/items/", names(bib_data$metrics$zotero_dois$id_raw)[http])
) |>
  dplyr::mutate(
    doi = paste0('<a href="', link, '" target="_blank">', doi, "</a>"),
    link = NULL
  ) |>
  knitr::kable(
    caption = "DOIs in Zenodo which include a `http`",
    escape = FALSE
  )

DOIs in Zenodo which include a `http`
	doi
4JHQ9XWE	https://doi.org/10.1111/j.1461-0248.2007.01067.x
GYGADVID	http://dx.doi.org/10.3354/meps243111
QAYJCMTF	https://doi.org/10.1111/jbi.13555
IS3C3LLP	http://dx.doi.org/10.3897/neobiota.25.8613
UYIEZBW4	https://doi.org/10.1007/978-3-540-36920-2_20
PV4Q78VY	https://doi.org/10.1016/j.tree.2011.06.013
P7YMTFFE	https://doi.org/10.1890/1540-9295(2004)002[0131:BBWAAO]2.0.CO;2
LIACFMQL	https://doi.org/10.3896/IBRA.1.50.1.02
BZ9DZNAB	https://doi.org/10.1080/13657305.2021.1896604
WXJ7MDE7	https://doi.org/10.17161/randa.v23i2.14119
JVWAGNEX	https://doi.org/10.1126/science.336.6085.1102-b
XPGMAJNK	https://doi.org/10.1002/ffej.10044
5FMI7RIF	https://doi.org/10.1002/aqc.1129
VR7RJBFJ	https://doi.org/10.1016/j.gecco.2020.e01080
33P9295H	https://doi.org/10.2307/40203478
YMQJX4SW	https://doi.org/10.15517/rbt.v62i4.13231
EECUYPAW	https://doi.org/10.1016/j.biocon.2013.11.003
ELAF7FIV	https://doi.org/10.3897/neobiota.61.58380
8D9H2WHY	https://doi.org/10.1007/s10530-011-9946-5
3MWGCWSD	https://doi.org/10.1016/j.cosust.2015.05.008
RDSZSNGU	http://dx.doi.org/10.1016/j.landurbplan.2016.01.007
DRNCYUQ5	https://doi.org/10.1111/j.1472-4642.2010.00652.x
5NAEENVG	https://doi.org/10.3389/fevo.2020.576667
NBUJ6447	https://doi.org/10.1111/1365-2745.13419
SHBVHJRC	https://doi.org/10.1016/j.biocontrol.2020.104503
GFLFSATK	https://doi.org/10.1079/cabireviews202217006
SXSCHIRC	https://doi.org/10.1007/s11600-018-0237-8
ZHZCEETV	https://doi.org/10.11646/zootaxa.5039.4.7
K5U3QNCX	https://doi.org/10.2305/IUCN.CH.2019.SSC-OP.62.en
YI5G6YAS	https://doi.org/10.1111/mam.12176
TL2B76K7	https://doi.org/10.1111/mec.15788
DWQ67M5S	http://dx.doi.org/10.2458/azu_rangelands_v25i6_frost
JBUPIVCG	https://doi.org/10.1111/eea.12619
S7XIVDGH	https://doi.org/10.1111/j.1365-2427.2009.02169.x
897ALY3S	https://doi.org/10.1016/j.tree.2017.03.006
VPGVRIHQ	https://doi.org/10.1111/j.1523-1739.2008.00937.x
QHVGP3F6	https://doi.org/10.1002/(SICI)1096-9063(199703)49:3%3C213::AID-PS516%3E3.0.CO;2-%23
ILULHK7I	https://doi.org/10.1603/0022-0493-99.5.1550
RFZJRAIP	https://doi.org/10.1111/ddi.12225
S59G4BKM	https://doi.org/10.1007/s00338-019-01807-7
XNI357U5	https://doi.org/10.3897/neobiota.40.28840
X7689EJA	https://doi.org/10.1038/nplants.2016.134
K8VYE8ZH	https://doi.org/10.1016/j.gloenvcha.2021.102366
SQLNLGCP	https://doi.org/10.1016/j.pt.2020.12.005
YFNHYQWN	https://doi.org/10.1093/bjs/znab134.326
T8TUHC2X	https://doi.org/10.1111/j.1600-0536.2008.01492.x
DFI8IIFH	https://doi.org/10.1080/09670262.2017.1357084
SZEQ6H6Y	https://doi.org/10.1016/j.jglr.2018.10.001
67BM7SIM	https://doi.org/10.1016/j.aquaculture.2020.735711
G2UNJC68	https://doi.org/10.1016/j.ocecoaman.2020.105253
LCLHYMK8	https://doi.org/10.21203/rs.3.rs-389696/v1
MBB7FRZW	https://doi.org/10.1111/cobi.12363
B5X9KCCL	https://doi.org/10.2307/2402124
ACLGWPX2	https://doi.org/10.1890/0012-9658(2006)87[3109:CDGIAL]2.0.CO;2
7JYWTVAJ	https://doi.org/10.1111/j.1442-9993.2005.01534.x
P67U9S2X	https://conbio.onlinelibrary.wiley.com/doi/epdf/10.1111/j.1755-263X.2011.00164.x
DNLSQ82T	https://doi.org/10.1111/j.1442-8903.2009.00457.x
SGSJCHZU	https://doi.org/10.1071/WR18047
B7THTI48	https://doi.org/10.1016/j.jembe.2006.10.038
8L6HNXH4	https://doi.org/10.1080/15627020.2002.11657175
5QAT6DGU	https://doi.org/10.1007/s00338-010-0684-4
T3BX4AC3	http://dx.doi.org/10.13140/2.1.3086.6888
4LG4MJRY	https://doi.org/10.1371/journal.pone.0188386
8UHJYY79	https://doi.org/10.1007/s00227-020-03689-8
RHM9AX2U	https://doi.org/10.1016/j.aquabot.2017.10.003
FP4DKY2K	https://doi.org/10.1006/jmsc.2000.0736
SC7RSBEW	https://doi.org/10.1007/s10530-011-9936-7
23G8IZVU	https://doi.org/10.1080/15627020.2002.11657170
XQDMSZHG	https://doi.org/10.1007/s10530-012-0336-4
8PUJSR9K	https://doi.org/10.1093/plankt/fbq100
FDGXK7YL	https://doi.org/10.1093/plankt/fbp021
P9CG6NTI	https://doi.org/10.2989/1814232X.2020.1754908
T3T4SPZ9	https://doi.org/10.1016/j.jembe.2004.11.022
U3TUD6W7	https://doi.org/10.1080/00359199209520258
WEFIWLCJ	https://doi.org/10.1007/s10750-009-9966-7
83BC59RT	https://doi.org/10.3989/scimar.2007.71n1129
8G7RQIEA	https://doi.org/10.1016/j.ecss.2006.02.011
MW63954I	https://doi.org/10.1023/B:HYDR.0000029927.91756.41
IAE42VNS	https://doi.org/10.1111/j.1095-8649.2004.00280.x
WXI2QFG6	https://doi.org/10.3354/meps09547
2GFWIKC9	https://link.springer.com/article/10.1007/s10530-012-0347-1
6W3IH3J6	https://doi.org/10.3989/scimar.2009.73n2329
MGHFTN66	https://doi.org/10.1093/mollus/eyl033
6JMYI2BG	https://doi.org/10.1016/j.icesjms.2004.06.016
HRH329EB	https://doi.org/10.1007/s10152-006-0027-6
ZEHEHA3Q	https://doi.org/10.1093/icesjms/fsr126
W25JSSCI	https://doi.org/10.1016/j.seares.2011.05.009
MTLSY8LQ	http://dx.doi.org/10.3391/ai.2020.15.1.10
49CVNS7A	https://doi.org/10.1111/maec.12642
ILDWLD9A	https://doi.org/10.1080/17451000.2017.1333620
H3GSRBAC	https://doi.org/10.1007/s10530-019-02072-z
4Y47DLQT	https://doi.org/10.1007/s002270050538
8VQQ6493	https://doi.org/10.4319/lo.2011.56.2.0431
HY6GQSEA	https://doi.org/10.1007/s10530-016-1268-1
NFY53E5U	https://doi.org/10.1023/A:1013264400526
DMP6SVHW	https://doi.org/10.1111/faf.12252
TF2JEPAT	https://doi.org/10.1007/s10393-005-0012-6
UNGF7ATG	https://doi.org/10.1098/rspb.2015.0120
YNYMGWP2	https://doi.org/10.1111/j.1523-1739.2009.01420.x
APAN3LYA	https://doi.org/10.1016/j.mambio.2012.11.007
B9UB533V	https://doi.org/10.1007/s10530-019-02122-6
KBSQ4K9F	https://doi.org/10.1139/f91-305
9PXY3UNI	https://doi.org/10.1111/eva.12367
THW9SZGX	https://doi.org/10.1890/11-1740.1
6JRBUGKV	http://dx.doi.org/10.1007/s10530-015-0874-7
52ESYBNT	https://doi.org/10.1007/s10530-019-01955-5
QBSGZXXE	https://doi.org/10.1007/s10641-006-9180-7
I6EF2DAE	https://doi.org/10.1007/s10530-020-02436-w
YSZXIT87	https://doi.org/10.7589/0090-3558-42.3.479
6D23ABPX	https://doi.org/10.1016/j.jglr.2016.07.027
QFBGJYGN	https://doi.org/10.1093/jmedent/45.4.600
9X7NVWEY	https://doi.org/10.1093/auk/119.4.929
VH3N3SXX	https://doi.org/10.1111/j.1365-294X.2010.04849.x
8LZ4MLP4	https://doi.org/10.2984/70.3.3
LZVRF3ND	https://doi.org/10.2984/69.1.5
GJTIH6JD	https://doi.org/10.1093/ee/nvaa108
M2SUBPML	https://doi.org/10.1111/gcb.15674
N3CRSZKE	https://doi.org/10.1016/j.pt.2017.11.006
E8WAKN49	https://doi.org/10.2984/73.3.3
W2CNAMUJ	https://doi.org/10.1017/S0954102017000487
IIASHSWG	https://doi.org/10.1007/s00300-016-1985-z
RJL43IP6	https://doi.org/10.1016/j.baae.2018.02.003
U7DUR978	https://doi.org/10.1016/j.biocon.2013.03.024
XZYNTNN3	https://doi.org/10.1016/S0006-3207(97)00178-X
2VUVXJHP	https://doi.org/10.1017/S0954102015000486
MA8B7P5R	https://doi.org/10.1371/journal.pone.0047080
RMEVFV3X	https://doi.org/10.1007/s10841-019-00147-9
EHH2Y2EQ	https://doi.org/10.1016/j.tree.2018.12.008
MPPL9T5V	https://doi.org/10.4141/cjps2012-128
KKQE2IRS	https://doi.org/10.3390/biology10121322
DNQGDYCT	https://doi.org/10.1111/emr.12464
49BXVTU4	https://doi.org/10.1080/10641260600886455
4Q8ELAGS	https://doi.org/10.1007/s10530-008-9405-0
CIWKQTYU	https://doi.org/10.1080/00288330.2004.9517252
2CRT5S5X	https://doi.org/10.1067/mai.2000.105707
9G6252YK	https://doi.org/10.1007/s10530-008-9392-1
R2BQGJE3	https://doi.org/10.1111/cobi.13180
GNZX3YWG	https://doi.org/10.1016/j.tree.2023.01.006
GNG7XTF6	https://www.sciencedirect.com/science/article/abs/pii/S0169534709002018
DCAVAS5I	https://doi.org/10.1111/j.1442-9993.2009.02000.x
I7KR2ZA7	https://doi.org/10.1659/mrd.0805
UR3AGXBB	https://doi.org/10.1016/j.gloenvcha.2011.05.003
58ZEJ9PV	https://doi.org/10.1111/twec.13187
T9I5R3N3	https://doi.org/10.1007/s41685-020-00179-z
A6BML947	https://doi.org/10.1111/j.1469-8137.2010.03277.x
ETLNKW94	https://doi.org/10.3389/fnbeh.2016.00077
Y3A37L9B	http://dx.doi.org/10.5154/r.rchscfa.2020.03.011
FPIZHDWR	https://doi.org/10.1086/702340
C4UZAUQ7	https://doi.org/10.1007/s10453-011-9230-2
MMSH9QRC	https://doi.org/10.1111/ele.13090
HVU87CCU	https://doi.org/10.2737/PSW-GTR-236
EVV3PBC5	https://doi.org/10.1139/er-2018-0071
JFACYUT8	https://doi.org/10.1002/fee.2160
9UKQNNUT	https://doi.org/10.1016/S1095-6433(03)00242-3
PHIWD2WA	https://doi.org/10.1111/j.1469-7998.1991.tb03792.x
S5HB9IK9	https://doi.org/10.1016/j.marenvres.2007.02.003
LJ3MPEVZ	https://doi.org/10.1046/j.1365-2435.2002.00653.x
QM6AT47D	https://doi.org/10.1111/j.1472-4642.2008.00538.x
88J7UERF	https://doi.org/10.1515/botm.1990.33.3.241
J9ZEVM44	https://doi.org/10.1002/ps.4044
BKJZTSZS	https://doi.org/10.1111/emr.12464
2N5A9KHU	https://doi.org/10.1163/1937240X-00002204
RZQ8CYBD	https://doi.org/10.1111/j.1469-8137.2010.03446.x
7HPJWEGG	https://doi.org/10.1002/rra.2571
IB2Z237B	https://doi.org/10.2307/3800238
ZNVEYZP2	https://doi.org/10.1016/j.marenvres.2008.06.002
BVLFEZD3	https://doi.org/10.1007/s10530-015-0852-0
VHU3PPAU	https://doi.org/10.1007/s10530-020-02300-x
4HRI5ZAB	https://doi.org/10.1007/s10530-014-0666-5
U7JC3DL5	https://doi.org/10.1111/j.1365-2664.2009.01751.x
7ZD4MLZT	https://doi.org/10.1890/05-1991
4V4STE85	https://doi.org/10.1890/02-5002
CPIYLX9J	https://doi.org/10.1139/cjfas-2018-0136
FF68BRT9	https://doi.org/10.1111/are.12986
3AB7UP7T	https://doi.org/10.1016/j.tree.2011.05.008
6QPTYAZ7	https://doi.org/10.24266/0738-2898-21.3.137
TR4MK2E9	https://doi.org/10.1111/1365-2664.13820
6MC2NFAL	https://doi.org/10.1111/gcb.12557
KBWZNR68	https://doi.org/10.1038/s41467-017-00626-0
BYNU2GQS	https://doi.org/10.3391/ai.2017.12.1.11
QQ3ZNCC5	https://dx.doi.org/10.20417/nzjecol.43.23
Q24QQCQT	https://doi.org/10.1016/j.jnc.2017.07.007
XU9UNGHX	https://doi.org/10.1007/s10530-004-0740-5
3SE7VUQ3	https://doi.org/10.7931/J2/FNZ.38
XKZFX5U4	https://doi.org/10.1071/PC140094
374TJEJR	https://doi.org/10.1111/nph.13107
XWF5CR36	https://doi.org/10.1111/ele.12355
QPRZLA8L	https://doi.org/10.2307/2445896
PCRNAFI4	https://doi.org/10.1111/j.1365-2435.2007.01289.x
PGE7QD7S	https://doi.org/10.1093/forestscience/45.1.74
URUPIKCF	https://doi.org/10.1002/ecy.3474
SPS8ZRVC	https://doi.org/10.1046/j.1365-2699.2002.00706.x
SUM7SVXT	https://doi.org/10.1016/j.tree.2009.03.01
6DHT7CNR	https://doi.org/10.1093/mnras/stt1458
AP6PDDCR	https://doi.org/10.1890/1540-9295(2005)003[0495:TWOTRD]2.0.CO;2
YB2QDM5V	https://doi.org/10.1111/j.1472-4642.2008.00521.x
QX8ILNFM	https://doi.org/10.1111/j.1600-0706.2012.20673.x
P7V8CCU4	https://doi.org/10.1890/15-0171.1
57TT5BZ9	https://doi.org/10.1111/risa.12870
9DBJR3QX	http://doi.org/10.1098/rspb.2020.077

Not Valid

Here we do acheck for the structural validity of the dois. This check needs to be improved. Of these 647 are not valid. These are:

Show the code

#|

if (length(bib_data$metrics$zotero_dois$not_valid) > 0) {
  data.frame(
    doi = bib_data$metrics$zotero_dois$not_valid,
    link = paste0(bib_data$bibliography$url, "/items/", names(bib_data$metrics$zotero_dois$not_valid))
  ) |>
    dplyr::mutate(
      doi = paste0('<a href="', link, '" target="_blank">', doi, "</a>"),
      link = NULL
    ) |>
    knitr::kable(
      caption = "DOIs in Zenodo which ar not valid",
      escape = FALSE
    )
} else {
  print("All DOIs in Zenodo are valid.")
}

DOIs in Zenodo which ar not valid
	doi
36NKRZYZ	10.1641/0006-3568(2002)052[0801:EEIINA]2.0.CO;2
P7YMTFFE	10.1890/1540-9295(2004)002[0131:BBWAAO]2.0.CO;2
8TEITQDU	10.1659/0276-4741(2006)026[0080:MANRNC]2.0.CO;2
836VV7XI	10.1641/0006-3568(2000)050[0239:TAGISF]2.3.CO;2
XBI9ZZ3B	10.1890/1540-9295(2005)003[0103:TTOTCR]2.0.CO;2
FWA4CJD8	10.1890/1540-9295(2006)004[0075:EACUDO]2.0.CO;2
NC4C4UVR	10.1641/0006-3568(2002)052[0464:Tgohnc]2.0.Co;2
NYTDRNS8	10.1890/1051-0761(2006)016[2035:BIRFUP]2.0.CO;2
FF5QVLTE	10.2111/1551-5028(2007)60[225:KAITPO]2.0.CO;2
RF6KDAH8	10.1890/1051-0761(2000)010[0689:BICEGC]2.0.CO;2
T4GQDS4Y	10.1890/1051-0761(2002)012[0927:AAMIIP]2.0.CO;2
QJUH6JCE	10.1579/0044-7447(2008)37[114:ECITBS]2.0.CO;2
SVAUY7BQ	10.1641/0006-3568(2004)054[0613:TGISIN]2.0.CO;2
PJ2U42NU	10.1641/0006-3568(2001)051[0095:HAGPDG]2.0.CO;2
X4PQSSSS	10.1890/1540-9295(2005)003[0071:BCOIAP]2.0.CO;2
SWNQTRGB	10.1614/0043-1745(2003)051[0247:EPIATO]2.0.CO;2
QMUJCAI5	10.4102/koedoe. v53i2.1049
YGZUYIXA	10.2981/0909-6396(2007)13[159:PCOCMC]2.0.CO;2
RHMHM7QA	10.1614/0043-1745(2000)048[0255:IWIRSI]2.0.CO;2
NZTBD2B9	10.1890/1540-9295(2006)4[428:LFAMIT]2.0.CO;2
QHVGP3F6	10.1002/(SICI)1096-9063(199703)49:3%3C213::AID-PS516%3E3.0.CO;2-%23
9NMFEPRL	10.1641/0006-3568(2004)054[0337:DDPBWF]2.0.CO;2
C6YEVH8M	10.1641/0006-3568(2002)052[0593:BMTACA]2.0.CO;2
PLG2LPDR	10.1641/0006-3568(2006)56[931:SAEITM]2.0.CO;2
FAWZTUAE	10.1890/1051-0761(2002)012[0618:ATATOU]2.0.CO;2
P3WI2WYU	10.1890/1540-9295(2005)003[0012:ISPMAF]2.0.CO;2
UR2MRQQM	10.1653/0015-4040(2007)90[723:AOOTRI]2.0.CO;2
QZ7UTL49	10.1641/0006-3568(2000)050[0053:EAECON]2.3.CO;2
ACLGWPX2	10.1890/0012-9658(2006)87[3109:CDGIAL]2.0.CO;2
P67U9S2X	https://conbio.onlinelibrary.wiley.com/doi/epdf/10.1111/j.1755-263X.2011.00164.x
2GFWIKC9	https://link.springer.com/article/10.1007/s10530-012-0347-1
Y3V965JT	10.1002/1522-2632(200011)85:5/6<609::AID-IROH609>3.0.CO;2-S
9RKURUXK	10.1641/0006-3568(2003)053[0703:BAFSIT]2.0.CO;2
R7GPGV9H	doi.org/10.2307/1311536
PJSTT35V	10.1641/0006-3568(2004)054[0321:TGDONM]2.0.CO;2
GNG7XTF6	https://www.sciencedirect.com/science/article/abs/pii/S0169534709002018
IFS8U8R3	10.1890/0012-9658(1999)080[2045:SLRACF]2.0.CO;2
EAY98IYC	10.1029/2011GL046583@10.1002/(ISSN)1944-8007.GRL40
NHW5MM48	doi.org/10.1023/A:1010090414598
XBMBJM6T	doi.org/10.1038/26886
EGLBHEW9	10.1890/1540-9295(2007)5[365:ANGOCE]2.0.CO;2
ABXB2YE3	10.1371/ journal.pone.0111913
HU5AB4ZR	10.1093/aobpla/plv085
DVSZLWH6	10.1641/0006-3568(2005)055[0518:DRFIIL]2.0.CO;2
FYJYPZ7I	annurev.es.23.110192.000431
MEWWU4ZQ	10.1111/j.1744-7429.201 0.00647.x
LWE6PBMS	10.1641/0006-3568(2004)054[0677:EOIAPO]2.0.CO;2
H3NKGIYL	10.1890/1540-9295(2003)001[0197:SODECA]2.0.CO;2
B4LKGDYS	10.1577/1548-8667(2000)012<0001:IVIAIP>2.0.CO;2
SCATM7WD	10.1645/0022-3395(2001)087[1366:TSNACI]2.0.CO;2
JC88EUMS	10.2983/0730-8000(2007)26[281:BAAESA]2.0.CO;2
6MV3NVAM	10.1890/1051-0761(2001)011[1750:ESITIS]2.0.CO;2
78WHBLJ3	10.1002/(SICI)1099-145X(199905/06)10:3<225::AID-LDR337>3.0.CO;2-T
8VEWQWK3	10.1659/0276-4741(2002)022[0159:IOPPOS]2.0.CO;2
ELNKKYYQ	10.1641/0006-3568(2003)053[0843:AMEASP]2.0.CO;2
G7F5FTVW	10.2984/1534-6188(2007)61[469:rroaao]2.0.co;2
MIV6DY5E	10.1890/1540-9295(2007)5[199:IASIAE]2.0.CO;2
GEAP9FT6	10.1641/0006-3568(2001)051[0103:HAAPOI]2.0.CO;2
U97B2QGL	10.1641/0006-3568(2005)055[0780:TOOTNP]2.0.CO;2
KSWSHRIZ	10.1890/1540-9295(2003)001[0307:BBAB]2.0.CO;2
3YHUAZSW	10.1641/0006-3568(2005)055[0335:SPFRTT]2.0.CO;2
AP6PDDCR	10.1890/1540-9295(2005)003[0495:TWOTRD]2.0.CO;2
ZEML3VIC	10.2984/1534-6188(2007)61[307:BAIOPI]2.0.CO;2
Z64YL7WL	10.1890/1540-9295(2007)5[153:IPIIAR]2.0.CO;2
FWWQ8TZG	10.1890/1540-9295(2004)002[0354:APFASI]2.0.CO;2
K55B5YBI	10.1890/1540-9295(2004)002[0265:TOOATI]2.0.CO;2

Not in OpenAlex

To validate the existence and validity of the DOIs, we check if the DOIs are in the OpenAlex database.

Of the 3863 unique DOIs in the library, 647 (16.75%) are in not in OpenAlex. This includes the non-valid DOIS, which are filtered out in the table below.

Show the code

data.frame(
  doi = bib_data$metrics$zotero_dois$not_in_oa,
  link = paste0(bib_data$bibliography$url, "/items/", names(bib_data$metrics$zotero_dois$not_in_oa))
) |>
  dplyr::mutate(
    doi = paste0('<a href="', link, '" target="_blank">', doi, "</a>"),
    link = NULL
  ) |>
  knitr::kable(
    caption = "DOIs in Zenodo which ar not in [OpenAlex](https://OpenAlex.org){target='_blank'}",
    escape = FALSE
  )

DOIs in Zenodo which ar not in OpenAlex
	doi
36NKRZYZ	10.1641/0006-3568(2002)052[0801:EEIINA]2.0.CO;2
4JHQ9XWE	10.1111/j.1461-0248.2007.01067.x
GYGADVID	10.3354/meps243111
3XCCATCT	10.2111/REM-D-09-00151.1
YBIQ59C7	10.1111/j.1365-294X.2011.05432.x
96JMLEEB	10.3197/096327114X13947900181031
FH3FMGIH	10.1111/2041-210X.12844
A4YQWPZU	10.5281/ZENODO.5562892
AGJPTGIV	10.1017/S0032247414000916
FCVNL7LU	10.1111/j.1466-822X.2006.00212.x
Q8M8CBR8	10.5751/ES-11583-250318
XIF4ZMCZ	10.1007/BF01579651
I2E6MVQB	10.5751/ES-09487-220401
9XIKAMDJ	10.1023/A:1014193329979
ERERLZTN	10.5281/ZENODO.5719431
9IYXL4BB	10.1080/0376835X.2011.570065
GKRHU9XM	10.1017/S003060531200124X
5FYKRWIE	10.1016/S2542-5196(19)30194-9
QAYJCMTF	10.1111/jbi.13555
QU5GAXV3	10.7882/AZ.2006.016
MV84B6PD	10.1017/S0376892907003815
D66YXVTW	10.1134/S2075111711040059
2ELAFJ42	10.3362/2041-7136.2010.014
S9UT4YR2	10.1017/S0376892908005146
GXMVVJX3	10.1094/PHYTO-105-7-0001
IS3C3LLP	10.3897/neobiota.25.8613
NAKFCHZ4	10.1016/B978-0-444-52272-6.00528-6
QZVRPZ7E	10.1007/BF01867529
UYIEZBW4	10.1007/978-3-540-36920-2_20
EGGVZ36N	10.1111/j.1365-294X.2012.05710.x
PV4Q78VY	10.1016/j.tree.2011.06.013
P7YMTFFE	10.1890/1540-9295(2004)002[0131:BBWAAO]2.0.CO;2
LIACFMQL	10.3896/IBRA.1.50.1.02
VVM256UK	10.1046/j.1466-822X.2002.00293.x
BZ9DZNAB	10.1080/13657305.2021.1896604
WXJ7MDE7	10.17161/randa.v23i2.14119
XVTTKW68	10.3161/15052249PJE2019.67.3.003
JVWAGNEX	10.1126/science.336.6085.1102-b
FTDLKZGP	10.2317/JKES805.27.1
GP3VIA54	10.1017/S0954102017000037
2UVAK7ZA	10.1094/PHYTO-95-0587
XPGMAJNK	10.1002/ffej.10044
5FMI7RIF	10.1002/aqc.1129
ZTQHU5YZ	10.21273/HORTSCI.19.1.168
KZIKXDSN	10.1641/B580102
LDUXNQQ7	10.1111/j.1526-100X.2009.00586.x
VR7RJBFJ	10.1016/j.gecco.2020.e01080
8TEITQDU	10.1659/0276-4741(2006)026[0080:MANRNC]2.0.CO;2
J7ZHW74A	10.1111/j.1755-263X.2011.00196.x
QT4XK9ZE	10.5751/ES-04342-160406
UT5YKBAR	10.1111/j.1755-263X.2010.00158.x
VZ9IFFJI	10.1016/S0022-0981(01)00382-3
2LEEP9SX	10.1016/J.BIOCON.2016.09.004
33P9295H	10.2307/40203478
DYTCQDHK	10.2307/3439329
94F7J32S	10.1016/S0263-2373(99)00070-5
UBQT5U99	10.1023/A:1023395631811
B47ZSHXI	10.1109/HICSS.2014.419
HRCN2KVE	10.1890/12.WB.016
836VV7XI	10.1641/0006-3568(2000)050[0239:TAGISF]2.3.CO;2
9ZMZCZ9D	10.1023/A:1013776931796
YMQJX4SW	10.15517/rbt.v62i4.13231
EECUYPAW	10.1016/j.biocon.2013.11.003
LHEWVWSK	10.1111/j.1365-294X.2010.04773.x
DVEXWLLU	10.1017/S037689291500003X
K3AD9KRG	10.1065/jss2004.10.121
AGUHRBGG	10.1111/j.1526-100X.2012.00919.x
CBF4FAXM	10.1016/S0921-8009(96)00088-2
JBFNEE9E	10.1086/6760341
68EV6JLR	10.5070/V425110616
X3BM5FV4	10.5751/ES-08053-210224
4FX8WNA5	10.1071/WR16041
F5UDYKTY	10.5751/ES-04534-170132
F6XRHPZX	10.5751/ES-06824-190356
VL6AY865	10.1016/S0006-3207(02)00161-1
MCZTVNPJ	10.5751/ES-06533-190301
KDDY6VSS	10.5751/ES-05383-180121
3LPJC2MZ	10.1504/IER.2016.074871
33T5CK6V	10.5751/ES-05178-180208
3PCNMCKC	10.1016/J.BIOCON.2008.07.014
LJHQN34J	10.5751/ES-05551-180426
VSGNZ7DP	10.5751/ES-07469-200167
XBI9ZZ3B	10.1890/1540-9295(2005)003[0103:TTOTCR]2.0.CO;2
R2JYPDJU	10.1641/B570509
TQF2YUHG	10.1111/j.1755-263X.2009.00086.x
B96CYCCS	10.5751/Es-04712-170134
FWA4CJD8	10.1890/1540-9295(2006)004[0075:EACUDO]2.0.CO;2
XGHAJVIF	10.1017/S1464793104006542
AWBYIPR8	10.1017/S0376892911000014
MGHDQUUQ	10.1017/S1755267214001341
VT4LEB4V	10.1163/187601005X00020
NC4C4UVR	10.1641/0006-3568(2002)052[0464:Tgohnc]2.0.Co;2
IMX69ZN2	10.1016/0006-3207(88)90002-X
ELAF7FIV	10.3897/neobiota.61.58380
DL3ZHT9R	10.1017/S0954102011000198
PRPTQDLD	10.1641/B571108
8D9H2WHY	10.1007/s10530-011-9946-5
CFXAKMXQ	10.1042/ETLS20200067
NYTDRNS8	10.1890/1051-0761(2006)016[2035:BIRFUP]2.0.CO;2
DABRZBE7	10.1080/1943815X.2014.975723
V3JX6E45	10.1614/IPSM-D-14-00059.1
QFWU5Y56	10.5751/ES-12352-260211
3MWGCWSD	10.1016/j.cosust.2015.05.008
IZLPFAMD	10.5751/ES-04952-170311
3MLHJ4IF	10.3316/agispt.20121130
T8XJ98L3	10.5751/ES-08362-210230
FF5QVLTE	10.2111/1551-5028(2007)60[225:KAITPO]2.0.CO;2
RHL9NQPR	10.5061/dryad.1qq64
RDSZSNGU	10.1016/j.landurbplan.2016.01.007
GMLBRS2S	10.3316/agispt.20181228005297
HHBPHS6N	10.5751/ES-10327-230329
RF6KDAH8	10.1890/1051-0761(2000)010[0689:BICEGC]2.0.CO;2
WGFCZE2M	10.1016/S0169-5347(01)02194-2
T4GQDS4Y	10.1890/1051-0761(2002)012[0927:AAMIIP]2.0.CO;2
FN7MTA3H	10.1016/S0168-1923(00)00119-2
UC2V8VRX	10.5281/ZENODO.5706521
DRNCYUQ5	10.1111/j.1472-4642.2010.00652.x
5NAEENVG	10.3389/fevo.2020.576667
AAHS2RQD	10.1603/EC11130
QJUH6JCE	10.1579/0044-7447(2008)37[114:ECITBS]2.0.CO;2
85PNTEE7	10.10520/EJC132237
Z5VHAJFZ	10.1017/S1068280500010005
SVAUY7BQ	10.1641/0006-3568(2004)054[0613:TGISIN]2.0.CO;2
NBUJ6447	10.1111/1365-2745.13419
NNQD95PI	10.17170/KOBRA-202011192210
HNKP5Q73	10.1111/j.1755-263X.2012.00250.x
SHBVHJRC	10.1016/j.biocontrol.2020.104503
GFLFSATK	10.1079/cabireviews202217006
QGKNGZRV	10.1071/BT05157
LKP9KQUB	10.1071/WR13100
SXSCHIRC	10.1007/s11600-018-0237-8
6LPXUMPV	10.1128/Spectrum.00686-21
IT4U9M4H	10.1071/WR01011
PJ2U42NU	10.1641/0006-3568(2001)051[0095:HAGPDG]2.0.CO;2
CBYPB6DM	10.1016/S1573-5214(04)80019-8
X4PQSSSS	10.1890/1540-9295(2005)003[0071:BCOIAP]2.0.CO;2
HNWNU5A2	10.1071/WR11097
AXI4B7YE	10.1046/j.1526-100X.2002.01051.x
2YJ34K8R	10.1071/BT20092
ZHZCEETV	10.11646/zootaxa.5039.4.7
K5U3QNCX	10.2305/IUCN.CH.2019.SSC-OP.62.en
DGBJSLLU	10.5751/ES-01208-090212
SWNQTRGB	10.1614/0043-1745(2003)051[0247:EPIATO]2.0.CO;2
QMUJCAI5	10.4102/koedoe. v53i2.1049
ZVY8KSPK	10.1016/S0169-5347(01)02154-1
YGZUYIXA	10.2981/0909-6396(2007)13[159:PCOCMC]2.0.CO;2
VUL7L7S7	10.1023/B:BINV.0000005567.58234.b9
8637SLTA	10.13292/j.1000-4890.201810.001
RHMHM7QA	10.1614/0043-1745(2000)048[0255:IWIRSI]2.0.CO;2
7LSWTA89	10.1017/S0890037X00045942
35WUEQ3G	10.1109/IROS.2015.7353629
Q53QKA8K	10.1017/S1742758400008201
8JGVYMB9	10.1017/S0890037X00040124
DNGLYD6N	10.1023/A:1024054909052
Y2LWTJNI	10.1109/DICTA.2007.4426838
6J4LPL2G	10.1016/S0022-0981(00)00260-4
K8WBS93R	10.10520/EJC142072
YI5G6YAS	10.1111/mam.12176
TL2B76K7	10.1111/mec.15788
CNLRSS3S	10.1016/S0167-5877(98)00078-6
2JIWXVHP	10.1023/A:1020951407069
ENITFXZD	10.1016/S0308-597X(03)00041-1
HXXAXRTF	10.1017/S0890037X00040793
XQ7WTLT7	10.1071/PC18080
D44D825Y	10.1584/jpestics.D19-101
BIHB896K	10.1071/EA06009
AIJ3HS8A	10.1071/RJ19047
DWQ67M5S	10.2458/azu_rangelands_v25i6_frost
YPDWJYJB	10.10520/EJC96214
NZTBD2B9	10.1890/1540-9295(2006)4[428:LFAMIT]2.0.CO;2
JBUPIVCG	10.1111/eea.12619
S7XIVDGH	10.1111/j.1365-2427.2009.02169.x
5B5VLAFF	10.1071/RJ15100
KBA6RJT3	10.1071/AM14023
897ALY3S	10.1016/j.tree.2017.03.006
4E8MXFSH	10.1128/JVI.75.24.12288-12297.2001
7C9NY5Z5	10.1109/MILCOM.2005.1605894
VPGVRIHQ	10.1111/j.1523-1739.2008.00937.x
QHVGP3F6	10.1002/(SICI)1096-9063(199703)49:3%3C213::AID-PS516%3E3.0.CO;2-%23
2WVLFA2E	10.1109/IGARSS.2002.1024961
58SMZNII	10.3233/JIFS-179109
ILULHK7I	10.1603/0022-0493-99.5.1550
P545SWME	10.1109/INISTA.2017.8001126
DUJQZCLB	10.1590/S0037-86822012000200006
53BUH5TC	10.1088/1748-0221/16/08/P08037
3VVZTPH2	10.1603/0046-225X-33.4.844
4EMB2PYM	10.1088/1757-899X/799/1/012045
9HF5KYDU	10.1016/S0022-474X(03)00012-2
KBRF3KQM	10.14455/DOA.res.2014.3
MGZAD25Z	10.1109/ACCESS.2020.3010287
9NMFEPRL	10.1641/0006-3568(2004)054[0337:DDPBWF]2.0.CO;2
CDJ4DPBI	10.1111/j.1755-263X.2012.00228.x
RFZJRAIP	10.1111/ddi.12225
UCUHBJ3I	10.1111/j.1526-100X.2009.00614.x
S59G4BKM	10.1007/s00338-019-01807-7
ZKJPQRV7	10.2118/177952-MS
EDRSEM83	10.1590/S1519-69842005000400014
33C799UR	10.1071/PC15020
PHRMIUJX	10.1614/IPSM-D-10-00012.1
C6YEVH8M	10.1641/0006-3568(2002)052[0593:BMTACA]2.0.CO;2
8T3TSY8T	10.1017/S0007485320000061
DYAM5LJJ	10.22004/AG.ECON.152140
2Q6J62Y4	10.1017/S0007485315001017
PLG2LPDR	10.1641/0006-3568(2006)56[931:SAEITM]2.0.CO;2
PL98EN7Q	10.1017/S1355770X1200037X
22F5BXKU	10.1071/WR18154
739MZKEP	10.1614/IPSM-09-042.1
NP8ZHH7Y	10.1079/PAVSNNR20149037
XKQA2S67	10.1016/S0262-4079(19)31224-2
MF2PUVTN	10.1016/S0301-4797(95)90347-X
FAWZTUAE	10.1890/1051-0761(2002)012[0618:ATATOU]2.0.CO;2
4XPX2TXC	10.1071/WR15176
XNI357U5	10.3897/neobiota.40.28840
NVARK385	10.1614/IPSM-08-127.1
GX7CJR53	10.5751/ES-04590-170223
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BTRU84KL	10.1017/S0376892920000223
ELNKKYYQ	10.1641/0006-3568(2003)053[0843:AMEASP]2.0.CO;2
UAUVXSZH	10.1111/AEC.12995
8PA5VMPY	10.1071/BT18088
YMEUQSMK	10.1071/PC140136
FRFEJ46X	10.2305/IUCN.UK.2014-1.RLTS.T22918A16121857.en
95GKM264	10.1017/S003060531700148X
J9IFULV2	10.2305/IUCN.UK.2014-1.RLTS.T8204A16116806.en
QH68DWE9	10.2305/IUCN.UK.2014-1.RLTS.T6302A16114609.en
MS29E3RD	10.1080/1088937X.2018.1547326
EQ963BZE	10.1023/A:1010057010476
BJPW2YCP	10.1094/PHYTO-05-15-0127-RVW
9UJ8QGSY	10.1007/BF00042880
FXJFNYB2	10.1111/j.1365-294X.2007.03456.x
KJ38DQQK	10.3897/BDJ.8.e51459
WRM6PTGI	10.3897/JHR.43.4661
S56FYLVZ	10.1128/AEM.62.8.2818-2825.1996
MZBB456V	10.1023/A:1022846630513
7UK63N5H	10.1017/S0953756200002732
QDWEUN8C	10.1111/j.1365-294X.2012.05597.x
3F8AV3GD	10.4067/S0718-19572013000100021
FH3JUNAY	10.4067/S0716-078X2004000200008
Y7QWPRQ3	10.4067/S0718-19572011000200015
7BF9U2QT	10.1515/BOT.2006.039
LW5UNBMW	10.21273/HORTTECH04333-19
ZNUEB9R5	10.7554/eLife.00731
E69HNF8L	10.4067/S0716-078X2006000200012
Q9ISN64Z	10.1017/S0007485307005184
CMBU8BAV	10.16373/j.cnki.ahr.140044
PGE7QD7S	10.1093/forestscience/45.1.74
G54K8RYC	10.1016/S0022-0981(99)00041-6
R2VHN7LI	10.1111/j.1523-1739.2011.01804.x.
CHGXNHKL	10.1071/WR18185
G7F5FTVW	10.2984/1534-6188(2007)61[469:rroaao]2.0.co;2
SDF4PWYA	10.1111/j.1755-263X.2011.00215.x
T8CP7NP9	10.1017/S1464793102006061
6J8NB9A2	10.1614/IPSM-D-11-00095.1
HUPL2NRS	10.1017/S0266467402002456
IIK5M8GW	10.1641/B570707
E4PW5V9I	10.21273/HORTSCI.42.2.191
JPH4QPH2	10.1641/B580511
MIV6DY5E	10.1890/1540-9295(2007)5[199:IASIAE]2.0.CO;2
GEAP9FT6	10.1641/0006-3568(2001)051[0103:HAAPOI]2.0.CO;2
U97B2QGL	10.1641/0006-3568(2005)055[0780:TOOTNP]2.0.CO;2
U7IWT8Z6	10.1016/0044-8486(94)00227-F
AW2XHST4	10.1111/2041-210X.13629
URUPIKCF	10.1002/ecy.3474
IJL7IK5E	10.1071/WR07091
KCATLE2H	10.5281/ZENODO.6458083
4EPKXFTK	10.1016/S0169-5347(99)01679-1
SPS8ZRVC	10.1046/j.1365-2699.2002.00706.x
I3WANZNY	10.1111/2041-210X.13335
KSWSHRIZ	10.1890/1540-9295(2003)001[0307:BBAB]2.0.CO;2
7UZIC5WJ	10.1080/00212210.1995.10688827
SUM7SVXT	10.1016/j.tree.2009.03.01
6DHT7CNR	10.1093/mnras/stt1458
3YHUAZSW	10.1641/0006-3568(2005)055[0335:SPFRTT]2.0.CO;2
K9ZYGDF9	10.14284/170
9WNNYTIV	10.5751/ES-04249-160325
CMQ8KJIF	10.1016/S0169-5347(98)01417-7
9SFCL4HV	10.5282/RCC/6270
UBY5M4K9	10.1016/S0169-5347(00)89171-5
AP6PDDCR	10.1890/1540-9295(2005)003[0495:TWOTRD]2.0.CO;2
YB2QDM5V	10.1111/j.1472-4642.2008.00521.x
TJNT5NRX	10.1111/2041-210X.12288
QX8ILNFM	10.1111/j.1600-0706.2012.20673.x
J2XEAGXE	10.1111/j.1755-263X.2008.00021.x
G8SRB76R	10.1016/S0169-5347(02)02495-3
P7V8CCU4	10.1890/15-0171.1
57TT5BZ9	10.1111/risa.12870
ZEML3VIC	10.2984/1534-6188(2007)61[307:BAIOPI]2.0.CO;2
Z64YL7WL	10.1890/1540-9295(2007)5[153:IPIIAR]2.0.CO;2
9DBJR3QX	10.1098/rspb.2020.077
FWWQ8TZG	10.1890/1540-9295(2004)002[0354:APFASI]2.0.CO;2
K55B5YBI	10.1890/1540-9295(2004)002[0265:TOOATI]2.0.CO;2
BJQGGPVA	10.1614/WT-04-126.1
AU6PLA3N	10.5751/ES-07541-200216

TODO Do Exist

TODO Finally we check, if these dois exist but are not ingested into OpenAlex. This is done using the doi.org resolver This is disabled at the moment and still needs to be implemented.